A novel online calculator to predict risk of microvascular invasion in the preoperative setting for hepatocellular carcinoma patients undergoing curative-intent surgery

Yutaka Endo, Laura Alaimo, Henrique A. Lima, Zorays Moazzam, Francesca Ratti, Hugo P. Marques, Olivier Soubrane, Vincent Lam, Minoru Kitago, George A. Poultsides, Irinel Popescu, Sorin Alexandrescu, Guillaume Martel, Aklile Workneh, Alfredo Guglielmi, Tom Hugh, Luca Aldrighetti, Itaru Endo, Timothy M. Pawlik*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Background: The presence of microvascular invasion (MVI) has been highlighted as an important determinant of hepatocellular carcinoma (HCC) prognosis. We sought to build and validate a novel model to predict MVI in the preoperative setting. Methods: Patients who underwent curative-intent surgery for HCC between 2000 and 2020 were identified using a multi-institutional database. Preoperative predictive models for MVI were built, validated, and used to develop a web-based calculator. Results: Among 689 patients, MVI was observed in 323 patients (46.9%). On multivariate analysis in the test cohort, preoperative parameters associated with MVI included α-fetoprotein (AFP; odds ratio [OR] 1.50, 95% confidence interval [CI] 1.23–1.83), imaging tumor burden score (TBS; hazard ratio [HR] 1.11, 95% CI 1.04–1.18), and neutrophil-to-lymphocyte ratio (NLR; OR 1.18, 95% CI 1.03–1.35). An online calculator to predict MVI was developed based on the weighted β-coefficients of these three variables (https://yutaka-endo.shinyapps.io/MVIrisk/). The c-index of the test and validation cohorts was 0.71 and 0.72, respectively. Patients with a high risk of MVI had worse disease-free survival (DFS) and overall survival (OS) compared with low-risk MVI patients (3-year DFS: 33.0% vs. 51.9%, p < 0.001; 5-year OS: 44.2% vs. 64.8%, p < 0.001). DFS was worse among patients who underwent an R1 versus R0 resection among those patients at high risk of MVI (R0 vs. R1 resection: 3-year DFS, 36.3% vs. 16.1%, p = 0.002). In contrast, DFS was comparable among patients at low risk of MVI regardless of margin status (R0 vs. R1 resection: 3-year DFS, 52.9% vs. 47.3%, p = 0.16). Conclusion: Preoperative assessment of MVI using the online tool demonstrated very good accuracy to predict MVI.

Original languageEnglish
Pages (from-to)725-733
Number of pages9
JournalAnnals of Surgical Oncology
Volume30
Issue number2
Early online date14 Sept 2022
DOIs
Publication statusPublished - Feb 2023
Externally publishedYes

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